package com.tanhua.server.service;

import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.convert.Convert;
import cn.hutool.core.util.RandomUtil;
import com.alibaba.fastjson.JSON;
import com.tanhua.autoconfig.template.HuanXinTemplate;
import com.tanhua.commons.utils.Constants;
import com.tanhua.dubbo.api.*;
import com.tanhua.model.domain.Question;
import com.tanhua.model.domain.UserInfo;
import com.tanhua.model.dto.RecommendUserDto;
import com.tanhua.model.mongo.RecommendUser;
import com.tanhua.model.mongo.Visitors;
import com.tanhua.model.vo.*;
import com.tanhua.server.exception.BusinessException;
import com.tanhua.server.interceptor.UserHolder;
import org.apache.dubbo.config.annotation.DubboReference;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;

@Service
public class TanhuaService {
    @DubboReference
    private RecommendUserApi recommendUserApi;
    @DubboReference
    private UserInfoApi userInfoApi;

    @Autowired
    private UserLocationApi userLocationApi;

    @Autowired
    private RedisTemplate<String ,String> redisTemplate;
    @Autowired
    private MessagesService messagesService;
    @DubboReference
    private QuestionApi questionApi;

    @Autowired
    private HuanXinTemplate huanXinTemplate;

    @DubboReference
    private UserLikeApi userLikeApi;

    @DubboReference
    private VisitorsApi visitorsApi;

    @Value("${tanhua.default.recommend.users}")
    private String recommendUser;
    //查询今日佳人信息
    public TodayBest todayBest() {
        //1.获取用户id
        Long userId = UserHolder.getUserId();
        //2.调查Api查询
        RecommendUser recommendUser = recommendUserApi.queryWithMaxScore(userId);
        //构造访客数据，调用Api保存
        Visitors visitors = new Visitors();
        visitors.setUserId(userId);
        visitors.setVisitorUserId(UserHolder.getUserId());
        visitors.setFrom("首页");
        visitors.setDate(System.currentTimeMillis());
        visitors.setVisitDate(new SimpleDateFormat("yyyy-MM-dd").format(new Date()));
        visitors.setScore(recommendUser.getScore());
        visitorsApi.save(visitors);
        if (recommendUser == null){
            recommendUser = new RecommendUser();
            recommendUser.setUserId(1l);
            recommendUser.setScore(99d);
        }
        //3.将RecommendUser转化为TodayBest对象
        UserInfo userInfo = userInfoApi.findById(recommendUser.getUserId());
        TodayBest todayBest = TodayBest.init(userInfo,recommendUser);
        //4.返回
        return todayBest;
    }

    //查询分页推荐好友列表
    public PageResult recommendation(RecommendUserDto recommendUserDto) {
        //1.获取用户id
        Long userId = UserHolder.getUserId();
        //2.调用recommendUserApi分页查询数据列表（PageResult -- RecommendUser）
        PageResult pageResult = recommendUserApi.queryRecommendUserList(recommendUserDto.getPage(),
                recommendUserDto.getPagesize(),
                userId);
        //3.获取分页中的RecommendUser数据列表
        List<RecommendUser> items = (List<RecommendUser>) pageResult.getItems();
        //4.判断列表是否为空
        if (items == null || items.size() <= 0){
            return pageResult;
        }
        //5.提取所有推荐的用户id列表
        List<Long> ids = CollUtil.getFieldValues(items, "userId", Long.class);
        UserInfo userInfo = new UserInfo();
        userInfo.setAge(recommendUserDto.getAge());
        userInfo.setGender(recommendUserDto.getGender());
        //6.构建查询条件，批量查询所有的用户详情
        Map<Long,UserInfo> map = userInfoApi.findByIds(ids,userInfo);
        //7.循环推荐的数据列表，构建vo对象
        List<TodayBest> list = new ArrayList<>();
        for (RecommendUser item : items) {
            UserInfo info = map.get(item.getUserId());
            if (info != null){
                TodayBest vo = TodayBest.init(info,item);
                list.add(vo);
            }
        }
        //8.构建返回值
        pageResult.setItems(list);
        return pageResult;
    }

    /**
     * 查看佳人信息
     * @param userId
     * @return
     */
    public TodayBest personalInfo(Long userId) {
        //1.根据用户id查询用户详情
        UserInfo userInfo = userInfoApi.findById(userId);
        //2.根据操作人id和查看的用户id，查询两者的推荐数据
        RecommendUser user =  recommendUserApi.queryByUserId(userId,UserHolder.getUserId());
        //3.构造返回值
        return TodayBest.init(userInfo,user);
    }

    /**
     * 查询用户陌生人问题
     * @param userId
     * @return
     */
    public String strangerQuestions(Long userId) {
        Question question = questionApi.findByUserId(userId);
        return question == null ? "你喜欢java编程吗？" : question.getTxt();
    }

    /**
     * 回复陌生人消息
     * @param userId
     * @param reply
     */
    public void replyQuestions(Long userId, String reply) {
        //1.构造消息数据
        Long currentUserId = UserHolder.getUserId();
        UserInfo userInfo = userInfoApi.findById(currentUserId);
        Map map = new HashMap();
        map.put("userId",currentUserId);
        map.put("huanxinId", Constants.HX_USER_PREFIX + currentUserId);
        map.put("nickname",userInfo.getNickname());
        map.put("strangerQuestion",strangerQuestions(userId));
        map.put("reply",reply);
        String message = JSON.toJSONString(map);
        //2.调用template对象，发送消息
        Boolean msg = huanXinTemplate.sendMsg(Constants.HX_USER_PREFIX + userId, message);
        if (!msg){
            throw new BusinessException(ErrorResult.error());
        }
    }

    /**
     * 探花推荐用户列表
     * @return
     */
    public List<TodayBest> queryCardsList() {
        //1.调用推荐Api查询数据列表（排除细化/不喜欢的用户，数量限制）
        List<RecommendUser> users = recommendUserApi.queryCardsList(UserHolder.getUserId(),10);
        //2.判断数据是否存在，如果不存在，构造默认数据，1，2，3、
        if (CollUtil.isEmpty(users)){
            users = new ArrayList<>();
            String[] userIds = recommendUser.split(",");
            for (String userId : userIds) {
                RecommendUser recommendUser = new RecommendUser();
                recommendUser.setUserId(Convert.toLong(userId));
                recommendUser.setToUserId(UserHolder.getUserId());
                recommendUser.setScore(RandomUtil.randomDouble(60,90));
                users.add(recommendUser);
            }
        }
        //3.构造vo
        List<Long> ids = CollUtil.getFieldValues(users, "userId", Long.class);
        Map<Long,UserInfo> infoMap = userInfoApi.findByIds(ids, null);

        List<TodayBest> vos = new ArrayList<>();
        for (RecommendUser user : users) {
            UserInfo userInfo = infoMap.get(user.getUserId());
            if (userInfo != null){
                TodayBest vo = TodayBest.init(userInfo,user);
                vos.add(vo);
            }
        }
        return vos;
    }

    /**
     * 喜欢
     * @param likeUserId
     */
    public void likeUser(Long likeUserId) {
        //1.调用Api，保存喜欢数据（保存到MongoDB）
        Boolean save = userLikeApi.saveOrUpdate(UserHolder.getUserId(),likeUserId,true);
        if (!save){
            throw new BusinessException(ErrorResult.error());
        }
        //2.操作redis，写入喜欢数据，删除不喜欢的数据（喜欢的集合，不喜欢的集合）
        redisTemplate.opsForSet().remove(Constants.USER_NOT_LIKE_KEY + UserHolder.getUserId(),likeUserId.toString());
        redisTemplate.opsForSet().add(Constants.USER_LIKE_KEY + UserHolder.getUserId(),likeUserId.toString());
        //3.判断是否双向喜欢
        if (isLike(likeUserId,UserHolder.getUserId())){
            //4.添加好友
            messagesService.contacts(likeUserId);
        }
    }

    /**
     * 不喜欢
     * @param likeUserId
     */
    public void notLikeUser(Long likeUserId) {
        Boolean save = userLikeApi.saveOrUpdate(UserHolder.getUserId(),likeUserId,false);
        if (!save){
            throw new BusinessException(ErrorResult.error());
        }
        redisTemplate.opsForSet().add(Constants.USER_NOT_LIKE_KEY + UserHolder.getUserId(),likeUserId.toString());
        redisTemplate.opsForSet().remove(Constants.USER_LIKE_KEY + UserHolder.getUserId(),likeUserId.toString());
        if (isLike(likeUserId,UserHolder.getUserId())){
            messagesService.disContacts(likeUserId);
        }
    }
    //判断是否双向喜欢
    public Boolean isLike(Long userId, Long likeUserId) {
        String key = Constants.USER_LIKE_KEY + userId;
        return redisTemplate.opsForSet().isMember(key, likeUserId.toString());
    }

    //搜附近
    public List<NearUserVo> queryNearUser(String gender, String distance) {
        //1.调用API查询附近的用户，返回的是附近的人的所有用户id，包含当前用户的id
        List<Long> userIds = userLocationApi.queryNearUser(UserHolder.getUserId(),Double.valueOf(distance));
        userIds.remove(UserHolder.getUserId());
        //2.判断集合是否为空
        if (CollUtil.isEmpty(userIds)){
            return new ArrayList<>();
        }
        //3.调用UserInfoApi根据用户id查询用户详情
        UserInfo userInfo = new UserInfo();
        userInfo.setGender(gender);
        Map<Long,UserInfo> map = userInfoApi.findByIds(userIds,userInfo);
        //4.构造返回值
        List<UserInfo> values = (List<UserInfo>) map.values();
        List<NearUserVo> vos = values.stream().map(item -> NearUserVo.init(item)).collect(Collectors.toList());
        return vos;
    }
}
